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Every nation has data. Few can protect it. Fewer still can act on it.
Dream is the sovereign AI and national cyber-defense company for governments.
We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world.
We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign.
The Dream JobWe are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Dream-Maker Responsibilities- Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
- Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
- Develop hands-on automation code in Python and/or TypeScript
- Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
- Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
- Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
- Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
- Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
- Proactively identify coverage gaps and improve system testability, observability, and debuggability
- Participate in system design and feature planning to embed quality from the earliest stages
- Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
- Mentor and guide engineers, elevating automation standards across the organization
- 5+ years of hands-on experience in test automation, including ownership of frameworks or large-scale automation systems
- Strong programming skills in Python and/or TypeScript, with solid software engineering fundamentals
- Proven experience designing, building, and scaling automation frameworks such as Pytest, Playwright, or Selenium
- Deep understanding of CI/CD workflows and test integration, using tools such as Jenkins or GitHub Actions
- Experience testing distributed, cloud-based SaaS systems on AWS, GCP, or Azure
- Strong debugging, problem-solving, and system-level thinking
- Hands-on experience with Linux environments and shell scripting
- Experience working with logs, monitoring, and technical investigation of system failures
- Comfortable using AI tools as part of the daily development and automation workflow
- Understanding of cybersecurity concepts, security-sensitive flows, or cloud security environments
- Excellent communication skills, with the ability to influence technical decisions and drive quality initiatives across teams
Nice to Have
- Experience working on cybersecurity products, security platforms, or detection/response systems
- Experience with AI-driven development tools, agentic workflows, or Model Context Protocol (MCP)
- Experience with containerization and infrastructure-as-code tools such as Docker, Terraform, or Ansible
- Familiarity with Kubernetes and distributed system architectures
- Experience working with databases such as SQL, MongoDB, Redis, or Neo4j
- Experience with message queues such as RabbitMQ
- Experience in performance, load, reliability, or resilience testing
- Experience improving observability, logging, and alerting for test and production-like environments
Tech Stack
- Python, Pytest, TypeScript, Playwright, Docker, GitHub, Jenkins, AWS, Terraform, Linux, MongoDB, Redis, RabbitMQ, Kubernetes
If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you!
Skills Required
- 5+ years of experience in QA roles
- Strong understanding of testing methodologies and QA best practices
- Experience testing web applications, APIs, and client-server systems
- Basic understanding of network protocols and HTTP requests
- Experience working with logs, debugging technical issues, and investigating system behavior
- Comfortable using AI tools as part of the QA workflow
- Ability to write clear, detailed test cases and bug reports
- Familiarity with test management tools such as TestRail
- Comfortable using basic shell commands and working with technical environments
- Familiarity with reading logs, inspecting pods, and triggering builds or jobs via Jenkins
- Comfortable working in fast-paced agile environments
- Strong communication, ownership, and collaboration skills
- Experience in cybersecurity, security products, or network/security testing
- Basic scripting or test automation frameworks such as Python, Selenium, or Playwright
- Familiarity with Postman, Swagger, or browser dev tools for API/UI validation
- Understanding of CI/CD workflows and QA's role in release cycles
- Exposure to cloud platforms such as AWS or GCP
- Experience with containerized environments such as Docker and Kubernetes
What We Do
Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the "unknowns," our AI transforms data into clear threat narratives and actionable defense strategies. Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.
